Description
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
9.
Reading from the figure
2x+5 =3x-8
3x-2x=5+8=13
x=13
The sides JK , KL, Jl are 32, 31,31 respectively
10. The third angle = 90-38 =52 degrees
11. The third angle = 90-27.6 = 62.4 degrees
Completion Status:
100%
Review
Review
Anonymous
Super useful! Studypool never disappoints.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Expansion Strategy and Establishing a Re-Order Point, statistics homework help
Purpose of Assignment This assignment has two cases. The first case is on expansion strategy. Managers constantly have to ...
Expansion Strategy and Establishing a Re-Order Point, statistics homework help
Purpose of Assignment This assignment has two cases. The first case is on expansion strategy. Managers constantly have to make decisions under uncertainty. This assignment gives students an opportunity to use the mean and standard deviation of probability distributions to make a decision on expansion strategy. The second case is on determining at which point a manager should re-order a printer so he or she doesn't run out-of-stock. The second case uses normal distribution. The first case demonstrates application of statistics in finance and the second case demonstrates application of statistics in operations management. Assignment Steps Resources: Microsoft Excel®, Bell Computer Company Forecasts data set, Case Study Scenarios Write a 1,050-word report based on the Bell Computer Company Forecasts data set and Case Study Scenarios. Include answers to the following: (note answers the case study with grading guide)Case 1: Bell Computer CompanyCompute the expected value for the profit associated with the two expansion alternatives. Which decision is preferred for the objective of maximizing the expected profit?Compute the variation for the profit associated with the two expansion alternatives. Which decision is preferred for the objective of minimizing the risk or uncertainty? Case 2: Kyle Bits and BytesWhat should be the re-order point? How many HP laser printers should he have in stock when he re-orders from the manufacturer?Format your assignment consistent with APA format. WITH THEER REFERENCES
10 pages
Application Of T Test
trlname, trlfeattyp, rte_ft, rte_mi, width_ft, and how significant the mean of one group is from the of comparing two ...
Application Of T Test
trlname, trlfeattyp, rte_ft, rte_mi, width_ft, and how significant the mean of one group is from the of comparing two samples in terms of their ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional Real Estate Company to help them
analyze real estate data. One of the company’s Pacific region
salespeople just returned to the office with a newly designed
advertisement. It states that the average cost per square foot of his
home sales is above the average cost per square foot in the Pacific
region. He wants you to make sure he can make that statement before
approving the use of the advertisement. The average cost per square foot
of his home sales is $275. In order to test his claim, you collect a
sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary
statistics, provide a histogram and summary, check assumptions, and
find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p
value and test statistic in regard to the normal curve graph, discuss
how the p value relates to the significance level, and compare the p
value to the significance level to reject or fail to reject the null
hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.Note:
This calculation is (mean – target)/standard error. In this case, the
mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For
right-tailed, use the T.DIST.RT function in Excel, left-tailed is the
T.DIST function, and two-tailed is the T.DIST.2T function. The degree of
freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the
p value and the significance level, including a comparison between the
two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant
4 pages
Click Run
The ABC Company wants to optimize the click rates. As a result, 13 factors were identified as having a significant identif ...
Click Run
The ABC Company wants to optimize the click rates. As a result, 13 factors were identified as having a significant identified by the ABC Company that ...
Similar Content
#33 Precalculus questions
...
CC Double Integrals Problem Quetsions
QUESTION:Non-circular cylinder. A solid right (non-circular) cylinder has its base R in the xy-plane and is bounded above ...
question 4 and 5. MAth help please. I dont just want the answer. i wanna learn
...
math question what is 4 3/4+2 3/4 = ?
math question what is 4 3/4+2 3/4 = ?...
Statistical Modeling in Business Analytics R Lab5
University of Wisconsin-Milwaukee
Statistical Modeling in Business Analytics
Sheldon B. Lubar School of Business Administr...
This is the rest of the question to my last two questions
(ii) An amortization table is a table that shows how much you still owe the bank after each payment. Complete th...
Adobe Scan 28 Sep 2021 2
...
USE OF BUSINESS MATHEMATICS AND STATISTICS IN MANAGEMENT DECISION MAKING
Firstly we will see what is mathematics and what is statistics. Mathematics is used in most aspect of daily life. Money of...
Statistics
A. may be used to determine real disposable personal income levels. B. is an indicator of the rate of inflation in the eco...
Related Tags
Book Guides
Macbeth
by William Shakespeare
Uncle Tom's Cabin
by Harriet Beecher Stowe
All the Kings Men
by Robert Penn Warren
Twilight
by Stephenie Meyer
The Girl With The Dragon Tattoo
by Stieg Larsson
The Underground Railroad
by Colson Whitehead
The Nightingale
by Kristin Hannah
The 7 Habits of Highly Effective People
by Stephen R. Covey
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Expansion Strategy and Establishing a Re-Order Point, statistics homework help
Purpose of Assignment This assignment has two cases. The first case is on expansion strategy. Managers constantly have to ...
Expansion Strategy and Establishing a Re-Order Point, statistics homework help
Purpose of Assignment This assignment has two cases. The first case is on expansion strategy. Managers constantly have to make decisions under uncertainty. This assignment gives students an opportunity to use the mean and standard deviation of probability distributions to make a decision on expansion strategy. The second case is on determining at which point a manager should re-order a printer so he or she doesn't run out-of-stock. The second case uses normal distribution. The first case demonstrates application of statistics in finance and the second case demonstrates application of statistics in operations management. Assignment Steps Resources: Microsoft Excel®, Bell Computer Company Forecasts data set, Case Study Scenarios Write a 1,050-word report based on the Bell Computer Company Forecasts data set and Case Study Scenarios. Include answers to the following: (note answers the case study with grading guide)Case 1: Bell Computer CompanyCompute the expected value for the profit associated with the two expansion alternatives. Which decision is preferred for the objective of maximizing the expected profit?Compute the variation for the profit associated with the two expansion alternatives. Which decision is preferred for the objective of minimizing the risk or uncertainty? Case 2: Kyle Bits and BytesWhat should be the re-order point? How many HP laser printers should he have in stock when he re-orders from the manufacturer?Format your assignment consistent with APA format. WITH THEER REFERENCES
10 pages
Application Of T Test
trlname, trlfeattyp, rte_ft, rte_mi, width_ft, and how significant the mean of one group is from the of comparing two ...
Application Of T Test
trlname, trlfeattyp, rte_ft, rte_mi, width_ft, and how significant the mean of one group is from the of comparing two samples in terms of their ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Report
Listen
ReadSpeaker webReader: Listen
ScenarioYou have been hired by the Regional Real Estate Company to help them
analyze real estate data. One of the company’s Pacific region
salespeople just returned to the office with a newly designed
advertisement. It states that the average cost per square foot of his
home sales is above the average cost per square foot in the Pacific
region. He wants you to make sure he can make that statement before
approving the use of the advertisement. The average cost per square foot
of his home sales is $275. In order to test his claim, you collect a
sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary
statistics, provide a histogram and summary, check assumptions, and
find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p
value and test statistic in regard to the normal curve graph, discuss
how the p value relates to the significance level, and compare the p
value to the significance level to reject or fail to reject the null
hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.Note:
This calculation is (mean – target)/standard error. In this case, the
mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For
right-tailed, use the T.DIST.RT function in Excel, left-tailed is the
T.DIST function, and two-tailed is the T.DIST.2T function. The degree of
freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the
p value and the significance level, including a comparison between the
two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant
4 pages
Click Run
The ABC Company wants to optimize the click rates. As a result, 13 factors were identified as having a significant identif ...
Click Run
The ABC Company wants to optimize the click rates. As a result, 13 factors were identified as having a significant identified by the ABC Company that ...
Earn money selling
your Study Documents